2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)
DOI: 10.1109/pacrim.2001.953695
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Complex Chebyshev approximation to stable IIR filters design

Abstract: This paper presents a minimax design method of stable IIR digital filters with an arbitrary magnitude and a phase responses using successive projection (SP) method. Because a design of IIR filters generally results in a complex approximation problem, the complex approximation problem is converted into the real approximation problem and its problem is solved by using SP method. Then, we use the implications of Rouche's theorem to mod@ SP method in such way that a constraint on the maximum pole radious can be in… Show more

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Cited by 3 publications
(2 citation statements)
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“…In this example, we designed a filter with the same specifications as the low-pass filter obtained by successive projection based on Rouché's theorem [4]. The design conditions were M = 6, N = 12, τ d = 9, ω p = 0.5π, ω s = 0.6π; the low-pass filter had a weight of 1 across the entire band.…”
Section: Design Examplementioning
confidence: 99%
See 1 more Smart Citation
“…In this example, we designed a filter with the same specifications as the low-pass filter obtained by successive projection based on Rouché's theorem [4]. The design conditions were M = 6, N = 12, τ d = 9, ω p = 0.5π, ω s = 0.6π; the low-pass filter had a weight of 1 across the entire band.…”
Section: Design Examplementioning
confidence: 99%
“…On the other hand, there are design methods with regard for stability, such as a method using successive projection based on Rouché's theorem [4], a method based on semidefinite programming [5], and a quadratic programming method using real positiveness as a constraint to assure stability [6].…”
Section: Introductionmentioning
confidence: 99%